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DeepMind
Organization
10
Total Mentions
10
Documents
598
Connected Entities
Artificial intelligence company owned by Google
DeepMind appears 10 times across documents, primarily in government oversight records discussing AI safety and technical achievements, with no direct evidence of connection to Jeffrey Epstein beyond shared document space.
Most mentions occur in House Oversight documents (pages 4-76) discussing AI safety papers and technical achievements, specifically referencing DeepMind's Atari game-playing program that secured $500M from Google. One appearance is in an automated newsletter from The Hustle about AlphaFold. The documents show DeepMind as a subject of technical discussion rather than personal involvement.
Key Highlights
- •House Oversight documents discuss DeepMind's technical achievements and AI safety research contributions
- •Mentions focus on AI capabilities (Atari games, AlphaFold) rather than personal connections
- •One automated newsletter mention shows no substantive relationship
- •No flight logs, correspondence, or direct Epstein-related content found
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Document Mentions (10)
Brockman_DeepThinking.MS
1 mentionHOUSE_OVERSIGHT_016221 - HOUSE_OVERSIGHT_016412
Source: House Oversight Committee
t the majority of AI researchers believe AI safety to be an important issue. I’m delighted to see the first technical Al-safety papers coming out of DeepMind, OpenAI, and Google Brain and the collaborative problem-solving spirit flourishing between the Al-safety research teams in these otherwise very compe
Page: HOUSE_OVERSIGHT_016296 →Brockman_DeepThinking.MS
1 mentionHOUSE_OVERSIGHT_016804 - HOUSE_OVERSIGHT_016995
Source: House Oversight Committee
t the majority of AI researchers believe AI safety to be an important issue. I’m delighted to see the first technical Al-safety papers coming out of DeepMind, OpenAI, and Google Brain and the collaborative problem-solving spirit flourishing between the Al-safety research teams in these otherwise very compe
Page: HOUSE_OVERSIGHT_016879 →HOUSE_OVERSIGHT_025949 - HOUSE_OVERSIGHT_025953
1 mentionSource: House Oversight Committee
s A machine learning program that can learn how to play an Atari game without any human supervision or hand- crafted engineering (the feat that gave DeepMind 500M from Google) now just takes about 130 lines of Python code. These models do not have interesting motivational systems, and a relatively simple
Page: HOUSE_OVERSIGHT_025952 →Sponsored
HOUSE_OVERSIGHT_025954 - HOUSE_OVERSIGHT_025959
1 mentionSource: House Oversight Committee
ks A machine learning program that can learn how to play an Atari game without any human supervision or hand-crafted engineering (the feat that gave DeepMind 500M from Google) now just takes about 130 lines of Python code. These models do not have interesting motivational systems, and a relatively simple
Page: HOUSE_OVERSIGHT_025958 →HOUSE_OVERSIGHT_025960 - HOUSE_OVERSIGHT_025966
1 mentionSource: House Oversight Committee
ks A machine learning program that can learn how to play an Atari game without any human supervision or hand-crafted engineering (the feat that gave DeepMind 500M from Google) now just takes about 130 lines of Python code. These models do not have interesting motivational systems, and a relatively simple
Page: HOUSE_OVERSIGHT_025964 →HOUSE_OVERSIGHT_026393 - HOUSE_OVERSIGHT_026398
1 mentionSource: House Oversight Committee
ks A machine learning program that can learn how to play an Atari game without any human supervision or hand-crafted engineering (the feat that gave DeepMind 500M from Google) now just takes about 130 lines of Python code. These models do not have interesting motivational systems, and a relatively simple
Page: HOUSE_OVERSIGHT_026397 →Sponsored
HOUSE_OVERSIGHT_026399 - HOUSE_OVERSIGHT_026405
1 mentionSource: House Oversight Committee
ks A machine learning program that can learn how to play an Atari game without any human supervision or hand-crafted engineering (the feat that gave DeepMind 500M from Google) now just takes about 130 lines of Python code. These models do not have interesting motivational systems, and a relatively simple
Page: HOUSE_OVERSIGHT_026403 →HOUSE_OVERSIGHT_026406 - HOUSE_OVERSIGHT_026412
1 mentionSource: House Oversight Committee
ks A machine learning program that can learn how to play an Atari game without any human supervision or hand-crafted engineering (the feat that gave DeepMind 500M from Google) now just takes about 130 lines of Python code. These models do not have interesting motivational systems, and a relatively simple
Page: HOUSE_OVERSIGHT_026410 →HOUSE_OVERSIGHT_026413 - HOUSE_OVERSIGHT_026419
1 mentionSource: House Oversight Committee
ks A machine learning program that can learn how to play an Atari game without any human supervision or hand-crafted engineering (the feat that gave DeepMind 500M from Google) now just takes about 130 lines of Python code. These models do not have interesting motivational systems, and a relatively simple
Page: HOUSE_OVERSIGHT_026417 →Sponsored
🤝 The $180B+ in-person events biz
1 mentionYAHOO_001659
rogram called AlphaFold, Alphabet’s AI subsidiary DeepMind made a big advance in <a href="https://link.thehu
Sponsored
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